class_docstr: Sine-cosine positional encoder for input points.
docstr: Number of encoded dimensions.
docstr_tok: ["Number","of","encoded","dimensions","."]
code: def num_encoded_dims(self) -> int:
      """Number of encoded dimensions."""
      return self._num_encoded_dims
  
file_path: kornia/kornia/nerf/positional_encoder.py
imports: from functools import partial
  import torch
  from torch import nn
  from kornia.core import Tensor
label_desc: Use image node_id 2 for calling the PositionalEncoder obj's underlying member method code with example usage: obj.num_encoded_dims() and returns: self